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Tracking people with a sparse network of bearing sensors

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2004) 3024 507-518
DOI: 10.1007/978-3-540-24673-2_41
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Abstract

Recent techniques for multi-camera tracking have relied on either overlap between the fields of view of the cameras or on a visible ground plane. We show that if information about the dynamics of the target is available, we can estimate the trajectory of the target without visible ground planes or overlapping cameras. © Springer-Verlag Berlin Heidelberg 2004.

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APA

Rahimi, A., Dunagan, B., & Darrell, T. (2004). Tracking people with a sparse network of bearing sensors. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3024, 507–518. https://doi.org/10.1007/978-3-540-24673-2_41

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